© 1978 by Biometrika Trust
Optimal design measures with singular information matrices
Department of Statistics, University of Glasgow
The problem of establishing a useful necessary and sufficient condition for a design measure with singular information matrix to be Ds-optimal is well known. In this paper a sufficient condition involving a certain type of g-inverse is established for a more general convex criterion function to be minimized by such a design measure. The condition is necessary for DA-optimality and for a linear criterion function. There is some discussion about its necessity in general.
Key Words: Directional derivative Generalized inverse Optimal design measure Singular information matrix Theory of games